Akshay Pal

Data Analyst Student | Aspiring Data Analyst
Python • SQL • Power BI • Excel
Building projects & learning every day
Open to Internships & Remote

[Akshay Pal @AkshayPal07]

Day 14 of #MachineLearning 🚀
Today I learned Normalization — a feature scaling technique that transforms data into a common range (usually 0–1).
✅ Better model performance
✅ Faster convergence
✅ Important for distance-based algorithms

[Akshay Pal @AkshayPal07]

Day 12 of my #MachineLearning journey 🚀
Today I learned Feature Engineering: ✅ Feature Creation ✅ Encoding Categorical Data ✅ Feature Scaling ✅ Feature Selection ✅ Handling Missing Values
💡 Better features = Better models.
#DataScience #Python #AI #ML

[Akshay Pal @AkshayPal07]

Day 10 of #MachineLearning 🚀

Today I learned:
📊 Bivariate Analysis → Relationship between 2 variables
📈 Multivariate Analysis → Relationship among multiple variables

Key takeaway: Understanding variable interactions helps uncover patterns and improves model ...

[Akshay Pal @AkshayPal07]

📌 Day 9 - Machine Learning Revision

Today's focus was revising previously learned Machine Learning and Data Science concepts. Reviewed Python fundamentals, data gathering techniques, JSON/CSV handling, web scraping, data preprocessing, and univariate analysis.

[Akshay Pal @AkshayPal07]

Day 8 of #MachineLearning 🚀

Today I learned Univariate Analysis 📊

🔹 Analyzing one variable at a time
🔹 Mean, Median & Mode
🔹 Distribution of data
🔹 Outlier Detection
🔹 Histograms & Box Plots

Understanding data is the first step before building ML models.

[Akshay Pal @AkshayPal07]

Day 7 of my Machine Learning journey 🚀

Today I learned Web Scraping using Python:
✅ Requests
✅ BeautifulSoup
✅ HTML Parsing
✅ Data Extraction
✅ Pandas DataFrames
✅ CSV Export
Built a mini project by scraping quotes and author data from a website.

[Akshay Pal @AkshayPal07]

@Hey_Emma1 To be honest, Emma😅

[Akshay Pal @AkshayPal07]

🚀 Day 6 of data gathering!

✔️ Collected more records ✔️ Standardized data in JSON format ✔️ Improved validation checks ✔️ Enhanced data quality tracking

Clean, structured data today = better insights tomorrow.

#DataEngineering #DataScience #JSON #AI #Analytics

[Akshay Pal @AkshayPal07]

Data doesn't lie , but it does need cleaning. 90% of my work is prep, 10% is insight. That's the reality of being a data analyst.what u think about data? #DataAnalytics #DataScience

[Akshay Pal @AkshayPal07]

Day 5 of #MachineLearning 🚀

Today I learned Data Gathering:
📂 Reading CSV files
📄 Working with JSON files
📊 Loading datasets into Python

Learning that good data is the foundation of every ML project.

#DataScience #Python #DataAnalytics #100DaysOfML

[Akshay Pal @AkshayPal07]

So how's ur weekend gone , it's all upto you.?

[Akshay Pal @AkshayPal07]

@thepoonam0914 Uski zarurat nhi💖

[Akshay Pal @AkshayPal07]

Day 4 of my ML journey ...
Today I understood the end-to-end ML project workflow and wrote the code myself. Learned the basics of Logistic Regression and how to use Scikit-learn (sklearn) for building ML models.
Small steps, consistent progress. 📈
#MachineLearning #DataScience

[Akshay Pal @AkshayPal07]

@meowsaysdev @thepoonam0914 Yummy😋

[Akshay Pal @AkshayPal07]

@thepoonam0914 Sometimes I will , sometimes I automate.....

[Akshay Pal @AkshayPal07]

@thepoonam0914 If it will end then I will end 🤪

[Akshay Pal @AkshayPal07]

@artikbisaIin 76901

[Akshay Pal @AkshayPal07]

@Im_IrushiK Burnout💀

[Akshay Pal @AkshayPal07]

Day 3 of my Machine Learning journey!
Today I learned about Tensors — the core data structure used in ML & Deep Learning.
✅ Scalar = 0D Tensor
✅ Vector = 1D Tensor
✅ Matrix = 2D Tensor
✅ Higher dimensions = Tensors
Learning something new every day!
#datascience

[Akshay Pal @AkshayPal07]

Day 2 of my Machine Learning journey
Today I learned about the Machine Learning Development Lifecycle (MLDLC):
Problem Definition → Data Collection → Data Preprocessing → Model Building → Evaluation → Deployment → Monitoring.
Learning step by step. 📚
#machinelearning #da